Find Your Dream Career

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role #LI-MM1 We're looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius' hyperscaler cloud. You'll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures. What You'll Work On: Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA) Storage systems: replication, consensus, self-healing, and data migration What We Expect: 6+ years of professional software engineering experience Strong knowledge of C++ Solid understanding of algorithms and data structures Basic knowledge of operating system internals (I/O, memory, scheduling) Ability to write reliable, maintainable code and debug complex systems Team-oriented mindset and fluency in English We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Netherlands on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise. YDB is an open-source platform with two roles within Nebius: Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes. What you'll work on Evolve YDB's architecture for new hardware, redesigning core components when incremental optimization is insufficient: QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads Prevent, detect and recover from silent data corruption across memory, networking and storage Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You'll see your work solving real problems in live clusters—not waiting years to make an impact. Requirements: 5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems Experience developing high-performance, low-latency software components Understanding of core dumps, flame graphs and sanitizer-enabled builds Understanding of CPU caches, atomic operations and NUMA architectures Nice to have: Experience designing and developing production-grade distributed storage systems and/or databases Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming Understanding of NVMe, conventional HDD and SMR HDD internals Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA Experience with Kubernetes and Grafana Experience responding to production incidents Knowledge of availability and durability calculations For Senior candidates , we offer hybrid working or the flexibility to work remotely within EU. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find Jobs in Netherlands on Arbeitnow

The role You will build and improve the WebCompat team's internal tooling, the dashboards and the broken-site-report screenshot pipeline the team relies on to triage and prioritize site breakage. This is a focused tooling role that makes the WebCompat program faster and more data-driven. Responsibilities Build and improve WebCompat dashboards (triage, reporting, and metrics). Improve the broken-site-report screenshot capture and pipeline. Work with the WebCompat team (including QA) to turn reporting and triage needs into reliable tooling. Required qualifications Solid web development (JavaScript, HTML, CSS, Python & Django) and experience building dashboards / data views. Comfort with tooling, automation, and web services. Self-directed, with good written communication. Preferred Familiarity with WebCompat workflows and Bugzilla. Experience with screenshot / automation pipelines. Experience with Machine Learning Find more English Speaking Jobs in Netherlands on Arbeitnow

Wir suchen für einen unserer Kunden einen erfahrenen Python & Cloud Native Software Engineer. Als Senior Software Engineer übernimmst du eine zentrale technische Rolle in einem agilen Entwicklungsteam der Telekom. Neben der Entwicklung anspruchsvoller Softwarelösungen verantwortest du die technische Qualität der Umsetzung, unterstützt das Team als fachlicher Ansprechpartner und gestaltest die Softwarearchitektur aktiv mit. Du führst das Team technisch, etablierst Best Practices und sorgst durch Code Reviews, Architekturentscheidungen und Mentoring für eine nachhaltige und qualitativ hochwertige Softwareentwicklung. Dabei arbeitest du eng mit Product Ownern, Architekten und anderen Entwicklungsteams zusammen. Die Digital Solution Connectivity (DSO CNS) setzt sich aus Mitarbeitern sowohl aus dem Business als auch aus dem technischen Bereich zusammen und ist für die Konzeption, Entwicklung, den Betrieb und die kontinuierliche Weiterentwicklung digitaler Konnektivitätslösungen verantwortlich. Für das Team «RIO» suchen wir einen engagierten, eigenverantwortlichen und motivierten Senior Software Entwickler. Team «RIO» sorgt dafür, dass unsere technischen Daten, Netzressourcen und Infrastruktur zuverlässig erfasst, aufbereitet und gesteuert werden können. Es erstellt wichtige Reports (z. B. NISV-QS), unterstützt die betriebliche Kommunikation, unterstützt das Billing und orchestriert die technischen Ressourcen, damit Produkte und Services korrekt bereitgestellt werden. Zudem verantwortet Rio das Asset- und Technikraummanagement – also die Transparenz und Pflege unserer physischen Netze, Anlagen und Verkabelungen und logischen Zusammenhänge von Services Wohnsitz Schweiz, von Vorteil Raum Bern Mindestens 8 Jahre Berufserfahrung in der professionellen Softwareentwicklung Mehrjährige Erfahrung als Senior Developer, Technical Lead oder Lead Engineer Exzellente Kenntnisse in Python sowie modernen Python-Frameworks, insbesondere FastAPI Erfahrung mit FastStream und eventgetriebenen Architekturen Sehr gute Kenntnisse in der Entwicklung und dem Betrieb von Microservices Fundierte Erfahrung mit Apache Kafka Mehrjährige Erfahrung mit Kubernetes und OpenShift Sehr gute Kenntnisse im API Management sowie im Design und der Entwicklung von REST-APIs Erfahrung in der Erstellung und Bewertung von Softwarearchitekturen Nachweisbare Erfahrung in der Durchführung von Code Reviews und der Etablierung von Entwicklungsstandards Erfahrung mit Clean Architecture, Clean Code, Domain-Driven Design (DDD) und Testautomatisierung Sehr gute Kenntnisse im Umgang mit Git sowie modernen CI/CD-Prozessen Erfahrung in agilen Entwicklungsmethoden (Scrum, Kanban) Ausgeprägte Kommunikationsfähigkeit, analytisches Denkvermögen und ein hohes Qualitätsbewusstsein Sehr gute Deutsch- und gute Englischkenntnisse Erfahrung im Telekommunikationsumfeld (OSS/BSS, Netzmanagement, Provisionierung oder Service-Orchestrierung) Kenntnisse von TM Forum Open APIs, Open Digital Architecture (ODA) oder vergleichbaren Industriestandards Erfahrung mit Cloud-native-Architekturen und DevSecOps Kenntnisse im Bereich Observability (z. B. Prometheus, Grafana, OpenTelemetry) Erfahrung mit Infrastructure as Code (z. B. Terraform oder Ansible) Find Jobs in Switzerland on Arbeitnow

Über YOO Sali. Wir sind YOO, die Basler Digitalagentur. Wir entwickeln digitale Lösungen, die Prozesse vereinfachen und Teams produktiver machen. Dafür arbeiten bei uns Menschen aus unterschiedlichsten Disziplinen eng zusammen – strategisch, kreativ und technisch. Wenn du Verantwortung übernehmen und im digitalen Projektalltag etwas bewegen willst, bist du bei uns richtig. Wir suchen per sofort oder nach Vereinbarung. Aufgaben Entwicklung von Softwarelösungen für Kund:innen aus unterschiedlichsten Branchen. Effektiver Einsatz von Coding Agents, LLMs und AI APIs im Entwicklungsalltag. Anforderungen von Kund:innen verstehen und gemeinsam mit UX, Design und Projektmanagement kritisch auf Vollständigkeit, Eindeutigkeit und technische Machbarkeit prüfen. Features so spezifizieren, dass sie effizient AI-gestützt umgesetzt werden können. Aktive Mitgestaltung unserer AI-gestützten Entwicklungsprozesse (Tooling, Workflows, Guidelines), um Kundenlösungen schneller und besser umzusetzen. Qualifikation Mindestens fünf Jahre Erfahrung in der professionellen Softwareentwicklung. Fundierte Kenntnisse in Software-Architektur und Software-Design. Praktische Erfahrung im Einsatz von AI Coding Tools (z. B. Claude Code, GitHub Copilot, Cursor) sowie ein gutes Verständnis der Möglichkeiten und Grenzen von LLMs und agentic Softwareentwicklung. Erfahrung mit Git-Workflows, CI/CD und automatisiertem Testing, damit AI-generierter Code in Kundenprojekten zuverlässig abgesichert ist. Eine strukturierte, eigenverantwortliche Arbeitsweise und Freude an neuen Technologien. Erfahrung mit Microsoft Azure und cloudbasierten Architekturen sowie mit Docker oder Kubernetes ist ein Plus. Du bringst sehr gute Deutsch- (C2) und gute Englischkenntnisse (B2) mit. Benefits Work-Life Integration mit flexiblen Arbeitszeiten, Homeoffice und Workation. Ein sympathisches Team, das sich auf dich freut und dir hilft, schnell Fuss zu fassen sowie aktive Mitgestaltungsmöglichkeiten und flache Hierarchien. Förderung bei Weiterbildungen und Beteiligung am Unternehmensgewinn. Modernes Büro in Gehdistanz zum Bahnhof SBB. Unfallzusatzversicherung und attraktiver BVG-Leistungsplan. Lebendige Teamkultur mit Spiel, Sport und Spass. Find Jobs in Switzerland on Arbeitnow

Looking for a role where you can use your ML skills to redefine how an entire industry solves core problems? We have that! Zerolook ($1.9M raised in August 2026, founded by former Google Flights and Kayak execs) is changing how air travel is priced, and ML is at the core of our approach. As an early hire, you get to define the technical approach at the center of it all. Tasks Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation. Data Engineering: Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data. Intelligent Routing: Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks. Domain leadership: develop core domain expertise in the field of using ML for fare and itinerary prediction. Technical Leadership: hire, lead and mentor other engineers as the team grows. Strategic Collaboration: Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering. Requirements Education: Bachelors or Masters in Computer Science or related field. Broad ML Knowledge: familiarity with the breadth of ML approaches and their relative strengths and weaknesses. Production ML Expertise: 4+ years in designing, training, and deploying ML models in production environments. Engineering Foundation: Strong software engineering skills with experience building robust, automated data pipelines. Startup DNA: Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership. Bonus Requirements Travel Tech: Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus. Large scale applications: experience building applications serving over 10K QPS at latencies on the order of 1 sec. Education: Ph.D. in Computer Science and/or educational concentration in Data Science Benefits Compensation CHF 140.000-150.000 + significant stock options If you are ready to build the infrastructure that will power the next generation of travel search, we want to hear from you. Find Jobs in Switzerland on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

We are looking for a Python Senior Software Engineer to join Platform team. As a Senior Software Engineer, your mission will be to work on designing and delivering essential components that empower Doctolib teams to build robust and scalable services. You will be working in a feature team developing the chassis, archetypes, business-agnostic services, cross-cutting concerns and Claude Plugins. You will be working in a platform feature team developing the Python and Java/Kotlin chassis, project archetypes, business-agnostic services, cross-cutting concerns (resilience, security, observability…) and Claude Plugins, used by more than 60 services across Doctolib. Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams. Your responsibilities include but are not limited to: Collaborate with product managers, designers, and other engineers to define and implement features to improve the Doctolib platform Take a leading role within the team and contribute to establishing a technical vision that ensures the performance, security, and usability of the platform, taking into account the future needs and the high scalability needs Bring your expertise and experiences to help us continuously improve the way we implement, test, and monitor high-quality features Improving the performance of key features implemented in Python, sometimes completely challenging the status quo Taking leadership on delivering roadmap items (together with the team) Contributing to establishing a technical vision and co-drive the creation of the roadmap for next quarters About our tech environment Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components. Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here ! Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You are proactive, curious, collaborative and eager to learn You are primarily a backend engineer with expert knowledge of Python You have a solid understanding of web technologies and software development life cycle You have a "user first" mindset and want to build a product focused on bringing value to its users, through secure, well-tested and pragmatic code You are fluent in English Now it would be fantastic if you have experience with Kafka and Kubernetes have experience with ADK and ML libraries have experience with Java or Kotlin What we offer Free comprehensive health insurance for you and your children Parent Care Program: additional leave on top of the legal parental leave Free mental health and coaching services through our partner Moka.care For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support Work from abroad for up to 10 days per year thanks to our flexibility days policy Up to 14 days of RTT A subsidy from the work council to refund part of the membership to a sport club or a creative class Lunch voucher with Swile card The interview process Recruiter Interview Feature Building Interview System Design Interview Behavioral Interview At least one reference check Job details Permanent position Full Time Location: Levallois Hybrid work setup (up to 2 remote days per week) Start date: As soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles ! At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability. To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of! All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. Find Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find more English Speaking Jobs in France on Arbeitnow

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, Mirakl's operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus). With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy's, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. For more information: www.mirakl.com . Mirakl in Numbers: 🗓️ Founded in 2012 | Member of French Tech Next40 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo 🇫🇷 350+ Mirakl Tech teams members mainly based in France ⚙️ 5 Saas Solutions Our Values: Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. Our 5 values guide how we collaborate: 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success 🏆 Get Things Done: We prioritize action and efficiency for impactful results 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture 🤝 Satisfy & Empower Clients: We're committed to our clients' success About the job Design, build, and scale production-grade AI systems that power the next generation of intelligent commerce. You will work at the intersection of Software Engineering, Machine Learning, and Generative AI to build AI-native products, agentic systems, and platform capabilities used by Mirakl customers and internal teams. This is a freelance position based in Paris or Bordeaux, with 1 day of remote work per week. Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software and the way our teams work on a day to day basis. At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software. And we have the same ambition for our teams around AI products and adoption. We are looking for a Senior AI Engineer to transform the way our internal teams work, and to have a significant impact on the agentic side of our Saas products. You won't be joining a company that's thinking about AI. You'll be joining one that's already building it. What You'll Do 1. Design & Build AI Systems Design, build, and deploy production-grade AI systems for both Mirakl internal operations. Develop solutions leveraging: LLMs, RAG, AI Agents, Multimodal AI and Evaluation frameworks. Architect complex agentic workflows including tools, memory, retrieval, planning, and guardrails. Rapidly prototype new capabilities and evolve them into scalable, reliable AI production systems. 2. Integrate Across the Stack Connect AI systems to internal platforms, business applications, and data sources across the company. Enable AI agents to interact with systems such as CRM, data platform, Drive, Jira, support tools, and internal knowledge bases. Design robust orchestration layers between models, APIs, tools, retrieval systems, and business workflows. Ensure reliability, observability, scalability, and maintainability across the entire AI stack. 3. Iterate for Impact Partner with end users, business teams, Product Managers, and Engineers to identify high-value opportunities for AI. Run pilots and experiments, gather qualitative and quantitative feedback, and measure business impact. Analyze usage patterns, failure modes, costs, latency, and performance metrics. Continuously improve accuracy, reliability, adoption, and user experience through data-driven iteration. 4. Ensure Quality, Security & Reliability Implement evaluation frameworks, guardrails, validation layers, and monitoring systems. Design AI systems that are secure, explainable, and production-ready. Ensure compliance with data security, governance, and access control requirements. Document architectures, capabilities, limitations, KPIs, and operational best practices. 5. Drive Adoption & Enablement Build a scalable ecosystem of AI systems and agents that empower both internal teams and customers. Support teams in adopting AI-powered workflows and integrating AI into their daily operations. Contribute to AI engineering standards, reusable frameworks, and best practices across the company. Act as a champion for AI-driven ways of working and help shape Mirakl's transition toward Agentic Commerce. Our stack and tools Languages: Python and SQL AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases Infrastructure: AWS or GCP, Docker and Kubernetes What Makes You Successful Strong engineering mindset: able to design reliable and scalable systems Strong AI expertise: able to translate the latest AI capabilities into production products Strong product mindset: able to balance technical excellence with business impact Focus on measurable outcomes, not technical complexity Success Metrics Product adoption and business impact Performance and reliability of AI systems Quality of AI outputs and evaluation metrics You'll Love This Job If you have 5+ years of experience in Software Engineering, ML Engineering, Applied AI, or related fields Strong Python and software engineering fundamentals Hands-on experience building production AI systems using LLMs, RAG, and AI Agents Experience designing multi-step agentic workflows and retrieval systems Experience evaluating AI systems and improving model performance Experience deploying and operating production services in cloud environments Strong communication skills in English Curiosity, pragmatism, and passion for building AI products Feel free to add a link to your GitHub in your CV so we can understand what you have worked on! Want to join us? Here is our process A 30-40 min phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return. An initial 1h30 technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects. 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture. We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you're ready to join a global leader powering digital transformation for 450+ of the world's most innovative retailers and B2B organizations. As part of our recruitment process, Mirakl processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French. We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews . Find Jobs in France on Arbeitnow

Location: Hybrid (NYC) - Remote (United States) Compensation: $149K - $185K Our client is a high-growth technology organization building an advanced AI platform designed for enterprise operations and value creation in an AI-native world. Founded by experienced leaders in applied AI and mission-critical infrastructure, the organization leverages a proven track record of developing leading risk management and financial infrastructure that has processed trillions in volume. Backed by top-tier venture capital firms with over $65 million in funding, the company maintains an agile, elite team focused on solving technically ambitious problems. Operating with a culture centered on high-agency, talent-dense individual contributors, our client emphasizes high autonomy, meaningful ownership, and strong judgment over hierarchy. They are seeking a Forward Deployed Engineer to own the technical customer journey and turn complex enterprise challenges into high-value, production-grade AI solutions. In this high-impact role, the successful candidate will bridge technical strategy and customer execution—partnering closely with product, sales, and engineering leaders to guide strategic clients from technical discovery through implementation, production rollout, adoption, and scaling. Key Responsibilities End-to-End AI Deployments: Own strategic client engagements throughout the lifecycle, including technical discovery, scoping, architecture design, hands-on implementation, evaluation, production rollout, and long-term adoption. Pre-Sales & Solution Architecture: Partner with the commercial team during pre-sales phases to lead technical discovery, design tailored AI solutions, and perform validation for high-value customer opportunities. Post-Sales Technical Execution: Drive post-sales success by building and integrating production AI systems that transition clients from initial concept into full production environments. Production AI Systems Engineering: Develop scalable AI applications utilizing modern large language models (LLMs), model APIs, tool calling, retrieval-augmented generation (RAG), context management, structured outputs, and agentic workflows. Product Optimization & Feedback Loops: Translate recurring customer insights into product enhancements—identifying cross-deployment patterns and developing reusable components, playbooks, tooling, and core product features. Proactive Problem Solving: Identify operational and technical opportunities, formulate strong architectural points of view, and execute without requiring rigid direction. Requirements Basic Qualifications Experience: 5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with significant end-to-end customer ownership. Execution Track Record: Proven history of taking ambiguous client challenges from initial discovery through to production deployment and measurable business impact. Technical & Commercial Judgment: Strong ability to evaluate trade-offs across client needs, product features, engineering complexity, cost, and latency. Core Technical Stack: Proficiency with Python and/or Rust, React/TypeScript, SQL, APIs, system integrations, authentication protocols, cloud infrastructure, and production observability. AI & LLM Expertise: Hands-on experience building AI-powered applications, including working with model APIs, context management, tool integration, retrieval architectures, model evaluation, and performance optimization. Location & Work Style: Based in the United States or Europe for remote arrangements (NYC-based candidates will work in-office 2–3 days per week). High agency and comfort operating autonomously in fast-paced, ambiguous environments. Preferred Qualifications Travel Flexibility: Ability to travel up to 30% annually for in-person team collaboration and client engagements. Communication: Exceptional written and verbal English communication skills, with the ability to articulate complex technical architecture to both technical and executive audiences. Performance Tuning: Familiarity with profiling tools, optimization techniques, and low-latency system design. Benefits Competitive Total Compensation: Base salary range of $149,000 – $185,000 , plus a competitive equity package aligned with performance and growth. Career Advancement: Opportunity to play a foundational role within a rapidly growing global technology organization. Workplace Flexibility: Remote options (US/Europe) or hybrid flexibility in New York City. Interview Process Initial Screening: Introductory conversation to align on background, experience, and role expectations. Technical & Architectural Evaluation: Deep dive into software engineering fundamentals, AI systems architecture, and system design. Behavioral & Scenario-Based Review: Practical discussion focused on client facing scenarios, technical trade-offs, and forward-deployed problem-solving. Final Leadership Alignment: Conversations with key leadership stakeholders across Product, Sales, and Engineering. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing ----- Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting ----- Find more English Speaking Jobs in France on Arbeitnow